Unsupervised Feature Learning With Winner-Takes-All Based STDP

We present a novel strategy for unsupervised feature learning in image applications inspired by the Spike-Timing-Dependent-Plasticity (STDP) biological learning rule. We show equivalence between rank order coding Leaky-Integrate-and-Fire neurons and ReLU artificial neurons when applied to non-tempor...

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Detalles Bibliográficos
Autores principales: Ferré, Paul, Mamalet, Franck, Thorpe, Simon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895733/
https://www.ncbi.nlm.nih.gov/pubmed/29674961
http://dx.doi.org/10.3389/fncom.2018.00024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895733/
https://www.ncbi.nlm.nih.gov/pubmed/29674961
http://dx.doi.org/10.3389/fncom.2018.00024

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